Open AccessThe development of a methodology of learning to use simulation in the analysis of production system performances
Author(s) -
Alin Gavriluţă,
C. A. Gavriluță,
Iulia Pascu,
C. Neacşu
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/564/1/012100
Subject(s) - production (economics) , computer science , abstraction , meaning (existential) , quality (philosophy) , representation (politics) , competition (biology) , work (physics) , simulation modeling , complex system , industrial engineering , artificial intelligence , engineering , microeconomics , economics , epistemology , mechanical engineering , ecology , philosophy , politics , political science , law , biology
Considering the dynamic environment in which the present companies work, global market, fierce competition, frequent changes of techniques and technologies, more diverse demand from clients, changing norms and ethics, it is a pressure that rises. To cope with these complex factors, the modelling and simulation of production systems became a main approach in the middle of 20th century. To develop a model and to later use it in simulation is an “artistic” balancing of opposites that demand finesse and skills; on one side the model must be easy to use, that meaning it must involve a level of abstraction from reality, on the other side the model must be a faithful representation of the system it mimics. Therefore, in this article we will develop a learning platform for a methodology to use the modelling and simulation in the analysis of production systems performances. The platform and the methodology will be later experimented and validated, leading to a higher level of research quality.